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Microsoft DP-420 Exam Syllabus Topics:

Section	Weight	Objectives
Design and implement data models	35-40%	- Implement data access 1. Implement optimistic concurrency control 2. Implement patch operations 3. Use SDKs for CRUD operations 4. Manage transactional batch operations 5. Implement SQL queries with arrays and aggregation 6. Use consistency and query request options - Implement server-side programming 1. Write and deploy stored procedures 2. Implement triggers 3. Implement user-defined functions - Design a data partitioning strategy 1. Choose a partitioning strategy 2. Plan for transactions with partition keys 3. Evaluate throughput and data distribution 4. Implement synthetic partition keys 5. Evaluate cross-partition query cost 6. Choose a partition key - Plan and implement sizing and scaling 1. Choose between serverless, provisioned, and free tier 2. Evaluate global distribution costs 3. Evaluate throughput and storage requirements 4. Configure throughput 5. Design resource governance and scaling - Design and implement a non-relational data model for Azure Cosmos DB for NoSQL 1. Reference between documents 2. Identify data and associated access patterns 3. Identify partition key, id, and unique keys 4. Store multiple related entities in the same document 5. Store multiple entity types in the same container 6. Denormalize data across documents - Implement client connectivity options 1. Use Azure Cosmos DB emulator 2. Configure client-side threading and logging 3. Choose gateway or direct connectivity mode 4. Implement singleton client 5. Handle connection errors 6. Create database connections
Integrate an Azure Cosmos DB solution	5-10%	- Enable analytical workloads 1. Write data back from Spark 2. Query analytical store from Synapse 3. Enable analytical store 4. Configure Azure Cosmos DB Mirroring - Implement solutions across services 1. Integrate Azure Functions and Event Hubs 2. Implement Azure AI Search integration 3. Aggregate and archive data 4. Use Change Feed for denormalization 5. Enforce referential integrity
Optimize an Azure Cosmos DB solution	15-20%	- Optimize query performance 1. Calculate query cost 2. Retrieve request unit cost 3. Implement integrated cache 4. Adjust indexing policies - Design and implement change feeds 1. Manage change feed instances 2. Develop Azure Functions triggers 3. Implement aggregation persistence 4. Consume change feeds using SDK - Define and implement indexing strategy 1. Implement composite indexes 2. Choose appropriate index types 3. Configure custom indexing policies 4. Choose read-heavy or write-heavy indexing 5. Optimize index performance
Maintain an Azure Cosmos DB solution	25-30%	- Monitor and troubleshoot Azure Cosmos DB solutions 1. Implement backup and recovery strategies 2. Monitor performance and availability 3. Monitor metrics and logs 4. Troubleshoot throughput issues
Design and implement data distribution	5-10%	- Design and implement replication strategy 1. Perform manual failovers 2. Define automatic failover policies 3. Choose a consistency model 4. Evaluate consistency model impacts 5. Choose when to distribute data - Design and implement multi-region writes 1. Implement multi-region writes 2. Implement conflict resolution policies 3. Choose when to use multi-region writes

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最新的 Azure Cosmos DB Developer Specialty DP-420 免費考試真題 (Q104-Q109):

問題 #104
You have a database named db1 in an Azure Cosmos DB for NoSQL account named account1. The db1 database has a manual throughput of 4,000 request units per second (RU/s).
You need to move db1 from manual throughput to autoscale throughput by using the Azure CLI. The solution must provide a minimum of 4,000 RU/s and a maximum of 40,000 RU/s.
How should you complete the CLI statements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

問題 #105
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a container named container1 in an Azure Cosmos DB Core (SQL) API account.
You need to make the contents of container1 available as reference data for an Azure Stream Analytics job.
Solution: You create an Azure function that uses Azure Cosmos DB Core (SQL) API change feed as a trigger and Azure event hub as the output.
Does this meet the goal?

A. Yes
B. No

答案：A

解題說明：
The Azure Cosmos DB change feed is a mechanism to get a continuous and incremental feed of records from an Azure Cosmos container as those records are being created or modified. Change feed support works by listening to container for any changes. It then outputs the sorted list of documents that were changed in the order in which they were modified.
The following diagram represents the data flow and components involved in the solution:

問題 #106
You need to implement a trigger in Azure Cosmos DB Core (SQL) API that will run before an item is inserted into a container.
Which two actions should you perform to ensure that the trigger runs? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Append pre to the name of the JavaScript function trigger.
B. Register the trigger as a pre-trigger.
C. For each create request, set the trigger name in RequestOptions.
D. For each create request, set the consistency level to session in RequestOptions.
E. For each create request, set the access condition in RequestOptions.

答案：B,C

解題說明：
Explanation
C: When triggers are registered, you can specify the operations that it can run with.
F: When executing, pre-triggers are passed in the RequestOptions object by specifying PreTriggerInclude and then passing the name of the trigger in a List object.
Reference: https://docs.microsoft.com/en-us/azure/cosmos-db/sql/how-to-use-stored-procedures-triggers-udfs

問題 #107
Hotspot Question
You have an Azure subscription that contains an Azure Cosmos DB for NoSQL account.
You define and implement an encryption policy by using the following C# code:

For each of the following statements, select Yes if the statement is true, otherwise select No.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

問題 #108
Hotspot Question
You plan to create a container named Container1 in an Azure Cosmos DB for NoSQL account.
Container1 will store items that contain user sign-in session data from multiple organizations.
Each user is assigned to a single organization.
Container1 will include the following properties:
- UserId
- SessionId
- SessionStart
- OrganizationID
The following are common queries served by Container1.
SELECT SessionID,SessionStart,UserID FROM c WHERE OrganizationId = 6 AND UserId =
50143
SELECT SessionID,SessionStart,UserID FROM c WHERE OrganizationId = 6
You need to recommend a partitioning scheme for Container1 that meets the following requirements:
- Maximizes performance
- Minimizes the cost of read queries
- Minimizes the possibility of reaching the partition size limits
Which type of partition key and which partition key properties should you include in the recommendation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

問題 #109
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